bert-finetuned-ner / README.md
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metadata
license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_keras_callback
model-index:
  - name: hamza666/bert-finetuned-ner
    results: []
datasets:
  - eriktks/conll2003

hamza666/bert-finetuned-ner

This model is a fine-tuned version of bert-base-cased on an eriktks/conll2003. It achieves the following results on the evaluation set:

  • Train Loss: 0.0285
  • Validation Loss: 0.0555
  • Epoch: 2

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2634, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
0.1708 0.0641 0
0.0476 0.0559 1
0.0285 0.0555 2

Framework versions

  • Transformers 4.41.2
  • TensorFlow 2.15.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1